Oracle

AI Presales Architect

Posted On

Nov. 10, 2025

Location

Bengaluru, Karnataka

Experience Level

Professional

Job Type

Permanent

Apply By

Dec. 31, 2025

Job Description

We are looking for an AI Presales Architect who combines broad technology expertise with the ability to envision and articulate AI-driven solutions for customer business challenges. This role sits at the intersection of applications, integrations, and AI innovation—helping customers reimagine their business processes through GenAI, intelligent agents, document AI, conversational AI, and data-driven analytics.Unlike a deep AI research role, this is a customer-facing, solution-oriented position requiring strong presales skills, demo storytelling, and the ability to design conceptual AI architectures integrated with enterprise applications.

Core Competencies & Skills

Presales & Storytelling: Excellent communication and executive engagement skills; ability to simplify AI concepts for CxOs.
Technology Breadth: Strong background in applications and integrations (OIC, SaaS extensions, REST APIs, microservices, containers).
AI Enablement: Familiarity with GenAI, LLMs, intelligent agents, conversational AI, and document AI.
Demo Innovation: Hands-on capability with Python, OCI AI services, and frameworks like HuggingFace, LangChain, PyTorch for creating impactful demos.
Enterprise Architecture: Ability to design hybrid/multi-cloud AI architectures with scalability, security, and compliance in mind.
Collaboration: Proven ability to work across sales, consulting, and product engineering teams in highly distributed environments.

Qualifications & Experience

12+ years of IT/solution architecture experience with at least 6 years in applications/integrations.
3–5 years of AI presales/solutioning exposure, with practical experience in demos, POCs, or customer workshops.
Expertise in designing SaaS extensions and integrations (Fusion Apps + third-party systems).
Familiarity with Oracle Cloud Infrastructure (OCI), SaaS AI extensions, and multi-cloud ecosystems.
Strong background in microservices, containerization (Docker/Kubernetes), and serverless functions.
Excellent written and verbal communication skills, with experience influencing both technical and business leaders.

Preferred Qualifications

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field.
Experience contributing to AI community initiatives, publishing whitepapers, or speaking at tech events.

Familiarity with Oracle's broader AI ecosystem and enterprise integration patterns is a plus.

Evaluation Criteria:

- Usecase presentations will be required to evaluate the candidate's ability to translate business problems into actionable insights and solutions.

What We Offer

A strategic role in shaping enterprise-scale AI solutions using GenAI and next-gen architecture.
Opportunity to work with senior experts and global teams on high-impact initiatives.
Culture of innovation, collaboration, and continuous learning.
Exposure to global delivery teams.

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